DESCRIPTION

Package: dgpsi
Type: Package
Title: Interface to 'dgpsi' for Deep and Linked Gaussian Process Emulations 
Version: 2.5.0-9000
Authors@R: c(
  person('Deyu', 'Ming', role = c('aut', 'cre', 'cph'),
         email = 'deyu.ming.16@ucl.ac.uk'),
  person('Daniel', 'Williamson', role = c('aut'),
         email = 'd.williamson@exeter.ac.uk')
  )
Maintainer: Deyu Ming <deyu.ming.16@ucl.ac.uk>
Description: Interface to the 'python' package 'dgpsi' for Gaussian process, deep Gaussian process, 
             and linked deep Gaussian process emulations of computer models and networks using stochastic imputation (SI). 
             The implementations follow Ming & Guillas (2021) <doi:10.1137/20M1323771> and 
             Ming, Williamson, & Guillas (2023) <doi:10.1080/00401706.2022.2124311> and 
             Ming & Williamson (2023) <doi:10.48550/arXiv.2306.01212>. To get started with the package, 
             see <https://mingdeyu.github.io/dgpsi-R/>.
License: MIT + file LICENSE
URL: https://github.com/mingdeyu/dgpsi-R, https://mingdeyu.github.io/dgpsi-R/
BugReports: https://github.com/mingdeyu/dgpsi-R/issues
Encoding: UTF-8
Depends:
    R (>= 4.0)
Imports:
    reticulate (>= 1.26),
    benchmarkme (>= 1.0.8),
    utils,
    ggplot2,
    ggforce,
    reshape2,
    patchwork,
    lhs,
    methods,
    stats,
    clhs,
    dplyr,
    uuid,
    tidyr,
    rlang,
    lifecycle,
    magrittr,
    visNetwork,
    parallel,
    kableExtra
Suggests:
    knitr,
    rmarkdown,
    MASS,
    R.utils,
    spelling
LazyData: false
VignetteBuilder:
    knitr
RoxygenNote: 7.3.2
Language: en-US
Roxygen: list(markdown = TRUE)